Triple

T6471840
Position Surface form Disambiguated ID Type / Status
Subject Opatów County E142370 entity
Predicate administrativeCenter P1474 FINISHED
Object Opatów E217515 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Opatów | Statement: [Opatów County, administrativeCenter, Opatów]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opatów
Context triple: [Opatów County, administrativeCenter, Opatów]
  • A. Opatów chosen
    Opatów is a historic town in south-central Poland known for its medieval architecture, including a Romanesque collegiate church and well-preserved town gate.
  • B. Ojców
    Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
  • C. Glogów
    Glogów is a historic town in western Poland on the Oder River, known for its medieval origins and reconstructed Old Town.
  • D. Ogrodzieniec
    Ogrodzieniec is a town in southern Poland best known for the ruins of its medieval castle in the Kraków-Częstochowa Upland.
  • E. Olsztynek
    Olsztynek is a small historic town in northern Poland known for its open-air ethnographic museum and location within the picturesque Warmian-Masurian lake district.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c008d3bf4c8190bcf798c5ba9d6fb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06a2fd4248190a789bf0301e2860a completed March 22, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc2600208190b996bac5845bd385 completed April 5, 2026, 2:42 a.m.
Created at: March 22, 2026, 4:50 p.m.